This week you will be using an actual dataset that has been collected for studying Adolescent Health: The National Longitudinal Study of Adolescent Health. This is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. The "Add Health" cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32*. Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood.

, you will be looking at 5 variables that are represented in the dataset.

BirthweightLBS = the individual's weigh at birth in pounds.

AgeFirstMarried = the age at which the individual was first married.

Allowance = their weekly allowance

HoursSleep = the number of hours they sleep each week

WatchTVhoursperweek = the number of hours each individual watches TV per week

Using SPSS, report the mean, number in sample, and standard deviation for each variable. (Round to two decimal places when necessary.)

BirthweightLBS: Mean ____7.41______ Number in Sample __5116________ Standard Deviation ____1.19_________

AgeFirstMarried: Mean ____20.96______ Number in Sample ____5268______ Standard Deviation _____3.91_______

Allowance: Mean _____8.05_____ Number in Sample __6503________ Standard Deviation _____15.1_______

HoursSleep: Mean ______7.81____ Number in Sample _____6477_____ Standard Deviation ___1.43__________

WatchTVhoursperweek: Mean ____16.03_____ Number in Sample __6461______ Standard Deviation _____14.73____

Since the standard convention for an extreme score in psychology is a value that occurs with a p 0.05, we can compute critical values (i.e., boundary scores) that will help us determine whether an observed raw score is statistically different from the observed mean.

Using the scores from the first page, compute the critical value(s) for each variable using a one tailed test. Use positive Z scores in your computations. Round to two decimal places when computing each part of the equation and when reporting your final answer. (Show your work to receive full credit.)

BirthweightLBS: Untreated Pop. Mean = 7.54; Untreated Pop. Standard Deviation = 1.21

AgeFirstMarried: Untreated Pop. Mean = 21.31; Untreated Pop. Standard Deviation = 3.89

Allowance: Untreated Pop. Mean = 8.21; Untreated Pop. Standard Deviation = 10.97

HoursSleep: Untreated Pop. Mean = 7.85; Untreated Pop. Standard Deviation = 1.55

WatchTVhoursperweek: Untreated Pop. Mean = 17.99; Untreated Pop. Standard Deviation =10.45

Compute the critical value(s) for each variable using a two tailed test. Round to two decimal places when computing each part of the equation and when reporting your final answer. (Show your work to receive full credit.)

BirthweightLBS: Untreated Pop. Mean = 7.54; Untreated Pop. Standard Deviation = 1.21

AgeFirstMarried: Untreated Pop. Mean = 21.31; Untreated Pop. Standard Deviation = 3.89

Allowance: Untreated Pop. Mean = 8.21; Untreated Pop. Standard Deviation = 10.97

HoursSleep: Untreated Pop. Mean = 7.85; Untreated Pop. Standard Deviation = 1.55

WatchTVhoursperweek: Untreated Pop. Mean = 17.99; Untreated Pop. Standard Deviation =10.45